Concentration Of Target Molecules Research Articles

A solid-phase fluorescence sensor for measuring chemical species in water

In this study, the first of its kind, a solid-phase fluorescence sensing platform was developed to quantify contaminants in water. ZnO quantum dots (QDs) were combined with molecularly imprinted polymers (MIPs) to form fluorescence sensing materials. Solid sensing layers were formed via a straightforward spin-coating method, which demonstrated a strong attachment to the sensor substrate while maintaining the integrity of the sensing materials. The developed sensing platform comprised a portable fluorescence detector to measure fluorescence intensity, instead of traditional fluorescence spectroscopy. The solid sensing platform was first tested with 2,4-dichlorophenoxyacetic acid (2,4-D), demonstrating high sensitivity (0.0233) and a very strong correlation (0.98) between the target molecule concentration and sensor signal. Further, the sensing platform was successfully adapted to measure a substance with a different molecular mass and chemical structure, the algae toxin microcystin-LR (MCLR); this demonstrated the sensor's versatility in quantifying target molecules. Tap water samples spiked with MCLR were also used to test the sensor's practical application. Finally, the working mechanism of the sensing platform was established, and the key information for using the sensor to measure various contaminants was determined. With its high performance, broad applicability, and ease of use, the developed platform provides a suitable basis for lab-on-chip image-based sensing devices for environmental monitoring.

Competitive Specific Anchorage of Molecules onto Surfaces: Quantitative Control of Grafting Densities and Contamination by Free Anchors.

The formation of surfaces decorated with biomacromolecules such as proteins, glycans, or nucleic acids with well-controlled orientations and densities is of critical importance for the design of in vitro models, e.g., synthetic cell membranes and interaction assays. To this effect, ligand molecules are often functionalized with an anchor that specifically binds to a surface with a high density of binding sites, providing control over the presentation of the molecules. Here, we present a method to robustly and quantitatively control the surface density of one or several types of anchor-bearing molecules by tuning the relative concentrations of target molecules and free anchors in the incubation solution. We provide a theoretical background that relates incubation concentrations to the final surface density of the molecules of interest and present effective guidelines toward optimizing incubation conditions for the quantitative control of surface densities. Focusing on the biotin anchor, a commonly used anchor for interaction studies, as a salient example, we experimentally demonstrate surface density control over a wide range of densities and target molecule sizes. Conversely, we show how the method can be adapted to quality control the purity of end-grafted biopolymers such as biotinylated glycosaminoglycans by quantifying the amount of residual free biotin reactant in the sample solution.

Aptamer-enhanced particle aggregation inhibition assay for simple homogeneous protein detection using DNA aptamer and thermo-responsive magnetic nanoparticles

A simple and sensitive homogeneous protein detection system is required for the early detection of biomarkers. Thermo-responsive magnetic particles (TM) have already been developed to achieve easy bound/free separation at the homogeneous protein detection system, but they are still limited owing to the requirement of secondary antibodies and negatively charged polymers, and it is challenging to control the TM aggregation behavior because of the size of the TM. Therefore, at new method to control TM aggregation behavior that is simple, easy, and highly sensitive is required. In this study, we developed a DNA aptamer-based TM assay as a simple protein detection system without additional secondary molecular recognition elements or negatively charged polymer. In the first attempt, a DNA aptamer was modified on the TM surface, and its aggregation behavior was monitored depending on the target molecule concentration. The TM aggregation rate during the heating process decreased depending on the amount of the DNA aptamer and increased depending on the target protein level. This suggests that the DNA aptamer prevented TM aggregation owing to its negative charge and achieved target protein detection owing to the cancellation of repulsion. Capturable aptamers were used in the TM assay to improve the sensitivity and limit of detection. The designed Capture DNA was modified on the TM surface, and the aptamer was captured in the presence of the target protein through a conformational change. Eventually, Capturable aptamer-based TM assay achieved a sub-nanomolar limit of detection and higher sensitivity than that of our initial investigation. Through this study and the ease of the DNA aptamer design, it was shown that the DNA aptamer-modified TM assay enabled the development of a simple and sensitive homogeneous protein detection system.

Hydrophilic-hydrophobic polymer strip with intrinsic signal and chemical-electromagnetic synergistic enhancement for non-metallic SERS-based identification of SARS-CoV-2 antigen

The formulation of substrates with reliable quantitative detection and robust molecular anchoring is crucial for surface-enhanced Raman scattering (SERS) technique. In this context, an appealing hydrophilic-hydrophobic polymer strip with Raman internal standard (IS) was generated by in-situ growing hydrophilic non-metallic black phosphorus/metal-organic frameworks (BP/ZIF-67) onto special regions of hydrophobic polydimethylsiloxane (PDMS) matrix, which dramatically promoted the concentration of target molecules. Furthermore, a specific detection of coronavirus disease 2019 (SARS-CoV-2) N-protein with a limit of 6.4 × 10−6 mg/mL was facilitated, benefiting from the selective capture rendered by the mesoporous surface of ZIF-67 and the ultra-high enhancement effect arose from BP/ZIF-67 hybrid structure-triggered charge transfer resonance process. Moreover, the extent of quantification in the SERS assay was significantly remedied due to the IS strategy. Especially, the slight local surface plasmon resonance (LSPR) capability of BP could readily provoke additional electromagnetic field to complement its powerful chemical enhancement, which was significantly superior to other non-metallic substrates. Such an upgraded platform may deliver another prospering technology for dependable virus monitoring.

Influence of drug and polymer molecular weight on release kinetics from HEMA and HPMA hydrogels

Drug release kinetics in two compositions of methacrylate hydrogels were monitored as a function of the hydrogel and drug molecular weight. Through modifying the molecular weight of hydrogels, it was demonstrated how the release could be tuned, allowing for increased stability of hydrogels and enhanced release performance. Spectroscopy techniques such as FTIR and UV–Vis–NIR provided inferences into the chemical structure, target molecule concentration, and optical performance of the studied hydrogels. By studying the 30-day target molecule loading stability of the hydrogels, a relationship between the drug and hydrogel molecular weight, and the drug release kinetics could be determined.

Surveying Metal Catalysts for Electrochemical Direct Oxidation of Small Organic Compounds

Electrochemical degradation of organic molecules is important in wastewater treatment. In addition, the direct oxidation of small organics can be utilized for electrochemical hydrogen production or fuel cell. This study aimed to provide database for various anode catalysts that can degrade organic molecules such as urea, methanol, ethanol, glucose, ammonia, formic acid, acetic acid, oxalic acid in various pH conditions. Pt, Ni, Cu anodes were employed, and the target molecule concentration was 0.3 M. The activity was analyzed by the peak current densities of cyclic voltammetry. The Cu showed activity in the reaction of decomposing glucose and ammonia at pH 14. The Ni was active in ammonia degradation at pH 7, and the Pt was active in oxalic acid oxidation at pH 0. Relevant mechanisms were proposed for these reactions. We suggest Cu-Ni composites for toilet wastewater treatment and Pt for handling anaerobic digestor effluent.

Fabrication of an electrospun polycaprolactone substrate for colorimetric bioassays

Colorimetric assays rely on detecting colour changes to measure the concentration of target molecules. Paper substrates are commonly used for the detection of biomarkers due to their availability, porous structure, and capillarity. However, the morphological and mechanical properties of paper, such as fibre diameter, pore size, and tensile strength, cannot be easily tuned to meet the specific requirements of colorimetric sensors, including liquid capacity and reagent immobilisation. As an alternative to paper materials, biodegradable polymeric membranes made of electrospun polycaprolactone (PCL) fibres can provide various tunable properties related to fibre diameter and pore size.We aimed to obtain a glucose sensor substrate for colorimetric sensing using electrospinning with PCL. A feeding solution was created by mixing PCL/chloroform and 3,3’,5’,5’-tetramethylbenzidine (TMB)/ethanol solutions. This solution was electrospun to fabricate a porous membrane composed of microfibres consist of PCL and TMB. The central area of the membrane was made hydrophilic through air plasma treatment, and it was subsequently functionalized with a solution containing glucose oxidase, horseradish peroxidase, and trehalose.The sensing areas were evaluated by measuring colour changes in glucose solutions of varying concentrations. The oxidation reactions of glucose and TMB in sensor substrates were recorded and analysed to establish the correlation between different glucose concentrations and colour changes. For comparison, conventional paper substrates prepared with same parameters were evaluated alongside the electrospun PCL substrates. As a result, better immobilization of reagents and higher sensitivity of glucose were achieved with PCL substrates, indicating their potential usage as a new sensing substrate for bioassays.

A review on specific and sensitive analytical method development and validation

A specific and sensitive analytical method development and validation plays an important role for building drug discovery, product development and manufacturing of pharmaceuticals. The main purpose of this review article is to check the report of specific and sensitive analytical method development and validation parameters involved in different pharmaceuticals manufacturing. Development of sensitive analytical method is extremely much significant because it ensures product efficacy and product quality. The sensitive analytical method development and validation is the process of proving that the analytical method meets the analytical acceptance criteria and it can use to measure the concentration of target molecule at its specification limit. The aim of method development is to produce a reproducible specific and sensitive analytical method in a cost effective manner. The parameters of validation involved are introduced as specificity, method precision, accuracy, linearity, limit of detection (LOD), limit of quantitation (LOQ), ruggedness, robustness and system precision of the target molecule.

Utilizing an Automated SERS-Digital Microfluidic System for High-Throughput Detection of Explosives.

The surface-enhanced Raman scattering (SERS) technique is a promising method for the detection of explosives such as 2,4,6-trinitrotoluene (TNT) and 3-nitro-1,2,4-triazol-5-one (NTO) because of its high sensitivity to trace substances. However, most SERS detection processes are often nonautomated as well as exhibit low efficiency and toxic exposure, which often poses potential danger to operators. Herein, we propose the integration of SERS with digital microfluidics (SERS-DMF) for automated, high-throughput, and high-sensitivity detection of explosives. First, we carefully designed a DMF chip comprising 40 drive electrodes and 8 storage electrodes to achieve a high-throughput process. And different concentrations of target molecules, silver nanoparticles (Ag NPs), and salts were loaded into the DMF chip. Then, the droplet aggregation, incubation, and detection processes were automatically controlled using the SERS-DMF platform. In addition, Ag NPs were efficiently aggregated by screening different types and concentrations of salts, resulting in "hotspots" and the SERS effect. With the help of the SERS-DMF platform, two explosive samples were automatically detected with high throughput and high sensitivity. The detection limits of TNT and NTO were 10-7 and 10-8 M, respectively. In addition, compared with nonautomatic operations, the SERS-DMF platform exhibited better reproducibility and higher efficiency for the detection of explosives. The proposed SERS-DMF thus has considerable potential as an analytical technique for detecting hazardous substances.

Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks.

Silicon nanowire field-effect transistors are promising devices used to detect minute amounts of different biological species. We introduce the theoretical and computational aspects of forward and backward modeling of biosensitive sensors. Firstly, we introduce a forward system of partial differential equations to model the electrical behavior, and secondly, a backward Bayesian Markov-chain Monte-Carlo method is used to identify the unknown parameters such as the concentration of target molecules. Furthermore, we introduce a machine learning algorithm according to multilayer feed-forward neural networks. The trained model makes it possible to predict the sensor behavior based on the given parameters.

Discrete stochastic models of SELEX: Aptamer capture probabilities and protocol optimization.

Antibodies are important biomolecules that are often designed to recognize target antigens. However, they are expensive to produce and their relatively large size prevents their transport across lipid membranes. An alternative to antibodies is aptamers, short (∼15-60 bp) oligonucleotides (and amino acid sequences) with specific secondary and tertiary structures that govern their affinity to specific target molecules. Aptamers are typically generated via solid phase oligonucleotide synthesis before selection and amplification through Systematic Evolution of Ligands by EXponential enrichment (SELEX), a process based on competitive binding that enriches the population of certain strands while removing unwanted sequences, yielding aptamers with high specificity and affinity to a target molecule. Mathematical analyses of SELEX have been formulated in the mass action limit, which assumes large system sizes and/or high aptamer and target molecule concentrations. In this paper, we develop a fully discrete stochastic model of SELEX. While converging to a mass-action model in the large system-size limit, our stochastic model allows us to study statistical quantities when the system size is small, such as the probability of losing the best-binding aptamer during each round of selection. Specifically, we find that optimal SELEX protocols in the stochastic model differ from those predicted by a deterministic model.

Microwave-prepared surface imprinted magnetic nanoparticles based electrochemical sensor for adsorption and determination of ketamine in sewage

Detection technology for the determination of drugs, such as ketamine (KT), in sewage is of great significance in drug inspection and criminal investigation. Herein, we propose the utilization of ketamine magnetic molecularly imprinted polymers (Fe3O4@MIPs) as a target molecule identification and concentration container coupled with magnetic glassy carbon electrode (mGCE) for KT detection in sewage. Molecular simulations were employed to evaluate the most suitable monomer and ratio of functional monomer to template. Fe3O4@MIPs were prepared using microwave-assisted synthesis and possessed a “shell-core” structure with good recognition ability, superior adsorption capacity and fast kinetics toward KT. Additionally, a novel imprinted electrochemical sensor was constructed based on the magnetism of Fe3O4@MIPs for efficient monitoring of low concentrations of KT. The morphology and properties of Fe3O4@MIPs/mGCE were effectively characterized by element mapping, transmission electron microscopy, cyclic voltammetry and square wave voltammetry. KT detection was performed by square wave voltammetry within the range of 1.0 × 10−12 and 4.0 × 10−4 mol L−1, and the limit of detection was 8.0 × 10−13 mol L−1. Furthermore, Fe3O4@MIPs/mGCE was successfully tested for KT determination in domestic sewage samples.

Demonstration of a simple approach for sub‐microliter fluorescence detection by structured PDMS cuvette with TiO 2 nanoparticle inclusion using 3D printing technology

With the increasing importance of portable sensing devices, one keeps seeking possible optimization to detect the lower concentration of target molecules with reduced reagents. Here presents a method to enhance fluorescence detection through a miniature cylindrical lens integrated into an engineered PDMS cuvette with a high refractive index embedded TiO2 nanoparticles. 3D printing technique was used to develop the moulds where the custom cuvette is produced utilizing the imprinting method. LED transmitter and blue laser diode were used as the excitation light sources to verify the light and materials interactions. In all the experiments, the fluorescence detection system was set at 90° alignments without any filters. First, the square-shaped cuvette resulted in more fluorescence detection compared to the circular one. Hence, different fluorophore holders with square shapes were designed to investigate the efficiency of the integrated lens and the TiO2 nanoparticles inclusions. Overall, the customized cuvette with integrated lens and nanoparticles demonstrated the most significant signal enhancement that reached the lower detection limit as 10 nM/L in 1 μL detection volume. This structural and material-modified cuvette can significantly enhance fluorescent detection at a sub-microliter scale, allowing further device miniaturization, especially for micro and nano fluidic devices using optical detection.

Unraveling the effect of the aptamer complementary element on the performance of duplexed aptamers: a thermodynamic study.

Duplexed aptamers (DAs) are widespread aptasensor formats that simultaneously recognize and signal the concentration of target molecules. They are composed of an aptamer and aptamer complementary element (ACE) which consists of a short oligonucleotide that partially inhibits the aptamer sequence. Although the design principles to engineer DAs are straightforward, the tailored development of DAs for a particular target is currently based on trial and error due to limited knowledge of how the ACE sequence affects the final performance of DA biosensors. Therefore, we have established a thermodynamic model describing the influence of the ACE on the performance of DAs applied in equilibrium assays and demonstrated that this relationship can be described by the binding strength between the aptamer and ACE. To validate our theoretical findings, the model was applied to the 29-mer anti-thrombin aptamer as a case study, and an experimental relation between the aptamer-ACE binding strength and performance of DAs was established. The obtained results indicated that our proposed model could accurately describe the effect of the ACE sequence on the performance of the established DAs for thrombin detection, applied for equilibrium assays. Furthermore, to characterize the binding strength between the aptamer and ACEs evaluated in this work, a set of fitting equations was derived which enables thermodynamic characterization of DNA-based interactions through thermal denaturation experiments, thereby overcoming the limitations of current predictive software and chemical denaturation experiments. Altogether, this work encourages the development, characterization, and use of DAs in the field of biosensing.

Recent advances in protein sequencing

Function or disfunction of proteins depends on the primary structures, and protein sequencing, which provides key information on protein related biological processes and disease, plays important roles in biological, biomedical, clinical research and application. To obtain the precise protein sequences, researchers developed different methods over the past few decades, and these methods include conventional methods and newly methods. The former includes Edman degradation and mass spectrometry (MS), and the latter includes single-molecule detection, nanopore and other lately developed techniques. In the 1960s, the classic Edman degradation was firstly developed for sequencing protein molecules from N-terminus using cyclic chemical reaction. Afterwards, solid-state, and gas-state Edman degradation was further developed that still plays a significant role in the modern technologies. This review discusses the principle and limits of Edman degradation. Moreover, we discussed advantages and shortcomings of MS-based approaches, which are the current standard methods for protein sequencing applications. Single-molecule approaches could bring revolution in proteomics, realizing high sensitivity for the low-abundance protein detection and single-cell proteomics. With the development of the single-molecule nucleic acid sequencing, four kinds of basic groups of DNA/RNA can be effectively detected using label-free or fluorescence labelling strategies. However, it is still a challenge to label and analyze all twenty kinds of amino acid residues. Moreover, sensitive optical detection has been utilized for high throughput protein sequencing using fluorescence labelling. In this approach, selected residues of peptides were labelled, and the C-terminus was anchored onto the glass substrate. N-terminus was degraded through Edman cycles. Finally, the sequence can be analyzed through the wide-field fluorescence signals. This method has potential of large-scale, sensitive, and parallel detection. We have discussed its principle and characteristic features in detail. Nanopore, including biological nanopore and solid-state nanopore, has been emerged as powerful technologies for protein sequencing. Nanopore can provide single-molecule sensing interface and controlled nano-confined space enabling ultimate sensitivity and high spatiotemporal resolution. The mechanism of nanopore-based technologies depends on the interaction of functional group and the nanopore, inducing the current modulations. The information of peptides can be obtained by monitoring the ionic current responses. Arrayed nanopores have potential of high-throughput detection at low-abundance. It is still in early stage of development and some challenges need to be addressed. As “finger-print” signal, Raman spectrum is an ideal candidate for protein sequencing. However, very weak signals can significantly restrict its application, especially at low concentration of target molecule. Surface enhanced Raman spectroscopy (SERS) can enhance the Raman signal to achieve the detection on the scale of a single molecule. Combination of the SERS and nanopore has demonstrated powerful capability of label-free detection of ten kinds of amino acids. Moreover, this method offers a new strategy for protein sequencing. Comparing with the weak Raman signal, fluorescence signals are more accessible, even on the level of single molecule. Several molecular dynamics (MD) simulations have been discussed to show possibility of fluorescence labelled protein sequencing within nanopore. Nevertheless, some drawbacks need to be addressed, especially the high-cost fabrication of nanopore and translocation of proteins through a pore. Specifically, this review also discusses the future challenges as well as summarize recent efforts to break the bottleneck of the current protein sequencing, promoting development of medical treatment, disease diagnosis and related fields.

A Reliable BioFET Immunosensor for Detection of p53 Tumour Suppressor in Physiological-Like Environment.

The concentration of wild-type tumour suppressor p53wt in cells and blood has a clinical significance for early diagnosis of some types of cancer. We developed a disposable, label-free, field-effect transistor-based immunosensor (BioFET), able to detect p53wt in physiological buffer solutions, over a wide concentration range. Microfabricated, high-purity gold electrodes were used as single-use extended gates (EG), which avoid direct interaction between the transistor gate and the biological solution. Debye screening, which normally hampers target charge effect on the FET gate potential and, consequently, on the registered FET drain-source current, at physiological ionic strength, was overcome by incorporating a biomolecule-permeable polymer layer on the EG electrode surface. Determination of an unknown p53wt concentration was obtained by calibrating the variation of the FET threshold voltage versus the target molecule concentration in buffer solution, with a sensitivity of 1.5 ± 0.2 mV/decade. The BioFET specificity was assessed by control experiments with proteins that may unspecifically bind at the EG surface, while 100pM p53wt concentration was established as limit of detection. This work paves the way for fast and highly sensitive tools for p53wt detection in physiological fluids, which deserve much interest in early cancer diagnosis and prognosis.

Improved intact peptide and protein quantitation by LC-MS: Battling the deleterious effects of analyte adsorption.

Peptide and protein quantitation by liquid chromatography-mass spectrometry relies on the assumption of linear signal response with concentration. At low concentrations, analyte adsorption to pipette tips, sample vials and equipment can have significant deleterious effects on signal response. Meanwhile at high concentrations, linearity breaks down due to competitive ionization, signal suppression, and the formation of peptide or protein multimers. These effects result in calibration curves that are more sigmoidal than linear. Linearity at low protein levels for identification and quantitation is of paramount importance in the discovery and validation of biomarker molecules. Herein, we demonstrate the benefits of using commercial low-bind microcentrifuge tubes and LC vials on the response of a 27-mer peptide, Vn96, and the intact proteins apomyoglobin and carbonic anhydrase. Linear curves were acquired for Vn96 while apomyoglobin required the addition of intact carbonic anhydrase as an adsorption competitor to achieve linearity. A linear calibration curve for carbonic anhydrase was also acquired by using the polypeptide ubiquitin as an adsorption competitor and internal standard. Linear response was recorded for approximately two orders of magnitude for apomyoglobin and carbonic anhydrase and three orders of magnitude for Vn96 with detection limits ranging from 0.33 to 19 fmol/µL. Finally, we used low-bind vials for the online enzymatic digestion of apomyoglobin where a high concentration of apomyoglobin acted as an adsorption blocker for the low level trypsin enzyme. Fortunately, the liberated tryptic peptides showed no affinity for the walls of the low-bind vials. In this study, we take a comprehensive approach to combat analyte adsorption by showing the significance of utilizing low-bind vials and adsorption competitors to greatly improve upon signal sensitivity at low concentrations of target molecules. The use of these methodologies should improve the low-level detection of molecules by mass spectrometry.

Proximity hybridization-triggered DNA assembly for label-free surface-enhanced Raman spectroscopic bioanalysis

We have developed a versatile label-free surface-enhanced Raman spectroscopic platform for detecting various biotargets via proximity hybridization-triggered DNA assembly based on the 736 cm−1 Raman peak of adenine breathing mode. We initially immobilized the first probe to AuNPs and modified the second with poly adenine. Presence of target DNA or protein molecules assembled a sandwich complex that brought the poly adenine close to the AuNPs surface, generating Raman signals, that were proportional to target molecule concentration. These approach exhibits high sensitivity, with a detection limit of 5.4 pM, 47 fM, and 0.51 pg/mL for target DNA, thrombin and CEA, respectively. Owing to a one step proximity dependent complex formation, this technique is simple and can be completed within 40 min, making it a promising candidate for point-of-care testing applications.

Robust quantitative SERS analysis with Relative Raman scattering intensities

Robust quantitative analysis methods are very attractive but challenging with surface-enhanced Raman scattering (SERS) technique till now. Quantitative analysis methods using absolute Raman scattering intensities tend to desire very critical reproducibility of SERS substrates and consistency of testing conditions, as batch differences and inhomogeneity of SERS substrates as well as the fluctuation of measuring parameters placed challenging obstacles. Relative Raman scattering intensities, on the other hand, can release the adverse interferences mentioned above and provide effective and robust information as it is independent of the reproducibility of SERS substrates. By establishing external calibration working curves, we achieved accurate molecule composition prediction of molecules in multi-component systems. Further, by choosing or adding a label molecule with known concentration as Raman internal standards, the concentration of target molecules can be easily predicted. This approach proved the effectiveness and robustness of quantitative analysis with the relative Raman scattering intensities, even carried out with a flexible inhomogeneous SERS substrate.

Multiscale Simulation of Adsorption Based Microcantilever Biosensors for Radiation Exposure Effects.

Background: This article is focused on biological measurements based on molecular interactions. The specific biomarker implemented for radiation biosensor is FLT3, which bears changes in the body regarding radiation exposure. Experimental results of sensing vancomycin verify the overall results of two steps of numerical methods for different scales.Objectives: The aim is to provide adequate modeling procedures to predict sensory data. Multiscale modeling is implemented to simulate molecular interaction and its consequent micro mechanical effects. The method is implemented to calculate surface traction of microcantilever biosensor.Materials and Methods: The method consists of molecular dynamics simulation of adsorption process by implementing classical mechanics theory to calculate the final response of the sensor as tip deflection. The sequential information transaction is assumed between the physical parameters of two governing scales. The numerical method consists of the location of particles providing for a nano-metric periodic boundary conditioned functionalized surface implemented, and the numerical thermodynamic formula is, in turn, use energy parameters to acquire macro-mechanical deflection of a specific microcantilever. Also, novel sensitivity analysis of the results as the adsorption process moves toward more saturated substrate provided.Results: Verification of the simulation method for Vancomycin sensing results enjoys less than 20 percent of deviation regarding the experimental data. The standard deviation of 0.054 in the final expected response of the sensor is calculated as the accuracy of the radiation biosensor based on FLT3.Conclusions: The method is still to reach a correlation between the concentration of target molecules in solution and the number of adsorbed molecules per area of the sensor. A scaled correlation between sensor’s response and the amount of biomarker is found using tip deflection of a sample designed microcantilever. Around one micrometer deflection that can be read out using various conventional methods was observed at saturation of adsorption surface. The analyses provide adequate data to design a sensor capable of measuring the effect of cosmic radiation to the human body.